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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, deploy, and maintain machine learning and AI-powered solutions that deliver measurable business outcomes.
Collaborate with business, operations, and technology teams to translate requirements into scalable AI solutions and support full solution lifecycle including experimentation, deployment, and continuous improvement.
Build and support data and model inference pipelines, apply machine learning, NLP, and generative AI techniques to improve business processes and user experience.
Minimum Requirements
Experience developing, implementing, or supporting machine learning, AI, or advanced analytics solutions.
Proficiency in Python, familiarity with software engineering best practices, and experience with SQL and cloud platforms (Azure, AWS, or GCP).
Understanding of machine learning lifecycle management, model deployment, and MLOps.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experience working with large language models, generative AI, Retrieval-Augmented Generation (RAG), vector databases, or agent-based AI systems.
Familiarity with model monitoring, AI governance, APIs, containerization, CI/CD pipelines, and enterprise delivery of AI/data science solutions.
Ability to work effectively in cross-functional teams and translate complex technical concepts for varied audiences.